Introducing machine learning for power system operation support B Donnot, I Guyon, M Schoenauer, P Panciatici, A Marot arXiv preprint arXiv:1709.09527, 2017 | 33 | 2017 |

Fast power system security analysis with guided dropout B Donnot, I Guyon, M Schoenauer, A Marot, P Panciatici arXiv preprint arXiv:1801.09870, 2018 | 15 | 2018 |

Graph neural solver for power systems B Donon, B Donnot, I Guyon, A Marot 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 14 | 2019 |

Anticipating contingengies in power grids using fast neural net screening B Donnot, I Guyon, M Schoenauer, A Marot, P Panciatici 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 13 | 2018 |

Learning to run a power network challenge for training topology controllers A Marot, B Donnot, C Romero, B Donon, M Lerousseau, L Veyrin-Forrer, ... Electric Power Systems Research 189, 106635, 2020 | 11 | 2020 |

Optimization of computational budget for power system risk assessment B Donnot, I Guyon, A Marot, M Schoenauer, P Panciatici 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2018 | 10 | 2018 |

Reinforcement learning for electricity network operation A Kelly, A O'Sullivan, P de Mars, A Marot arXiv preprint arXiv:2003.07339, 2020 | 8 | 2020 |

Interpreting atypical conditions in systems with deep conditional Autoencoders: the case of electrical consumption A Marot, A Rosin, L Crochepierre, B Donnot, P Pinson, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 7 | 2019 |

Guided machine learning for power grid segmentation A Marot, S Tazi, B Donnot, P Panciatici 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2018 | 7 | 2018 |

LEAP nets for power grid perturbations B Donnot, B Donon, I Guyon, Z Liu, A Marot, P Panciatici, M Schoenauer arXiv preprint arXiv:1908.08314, 2019 | 5 | 2019 |

Predicting future energy consumption A Boiron, S Lo, A Marot CS229 Project Report, 1-5, 2012 | 5 | 2012 |

Expert System for topological remedial action discovery in smart grids A Marot, B Donnot, S Tazi, P Panciatici IET Digital Library, 2018 | 4 | 2018 |

Neural networks for power flow: Graph neural solver B Donon, R Clément, B Donnot, A Marot, I Guyon, M Schoenauer Electric Power Systems Research 189, 106547, 2020 | 3 | 2020 |

Leap nets for system identification and application to power systems B Donon, B Donnot, I Guyon, Z Liu, A Marot, P Panciatici, M Schoenauer Neurocomputing 416, 316-327, 2020 | 2 | 2020 |

Exploring grid topology reconfiguration using a simple deep reinforcement learning approach M Subramanian, J Viebahn, S Tindemans, B Donnot, A Marot arXiv preprint arXiv:2011.13465, 2020 | 2 | 2020 |

Adversarial training for continuous robustness control problem in power systems L Omnes, A Marot, B Donnot arXiv preprint arXiv:2012.11390, 2020 | 1 | 2020 |

Towards an AI assistant for human grid operators A Marot, A Rozier, M Dussartre, L Crochepierre, B Donnot arXiv preprint arXiv:2012.02026, 2020 | 1 | 2020 |

Learning To Run a Power Network Competition A Marot, B Donon, I Guyon, B Donnot CiML Workshop, NeurIPS, 2018 | 1 | 2018 |

Latent Surgical Interventions in Residual Neural Networks B Donnot, I Guyon, Z Liu, M Schoenauer, A Marot, P Panciatici | 1 | 2018 |

Learning to run a Power Network Challenge: a Retrospective Analysis A Marot, B Donnot, G Dulac-Arnold, A Kelly, A O'Sullivan, J Viebahn, ... arXiv preprint arXiv:2103.03104, 2021 | | 2021 |